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The effective integration of palliative care along the hospital–home trajectory remains a challenge, with digital technologies representing a promising strategy to improve continuity and coordination of care. This study aimed to validate, through expert consensus, the objectives, functionalities, clinical content, organizational requirements, and barriers and facilitators of a technological resource to support the integration of palliative care from hospital to home.
Methods
A methodological consensus study using a modified Delphi technique was conducted over two rounds. A multidisciplinary panel of experts with experience in palliative care, digital health, and healthcare organization participated. In the first round, experts evaluated an initial set of items derived from the literature and clinical practice. Items were analyzed for consensus and, based on qualitative comments, linguistically refined. In the second round, experts reassessed the items to confirm consensus and evaluate the stability of responses. A 4-point Likert scale was used. Consensus was defined as ≥75% of responses indicating “Agree” or “Strongly agree,” with calculation of the Item Content Validity Index (I-CVI) and the coefficient of variation.
Results
Thirty-three experts participated in both rounds, corresponding to a 100% retention rate. All items reached consensus in the first round and maintained consensus and high stability in the second round. Agreement levels were high across all domains, with I-CVI values ≥0.78 and coefficients of variation below 0.25, confirming the content validity of the final set of items. No items were excluded throughout the Delphi process.
Significance of results
This study validated a comprehensive and structured set of essential components for the development of a technological resource to support the integration of palliative care from hospital to home. The high levels of consensus and stability achieved support the clinical and organizational relevance of the resource, providing a solid foundation for its development, implementation, and future evaluation.
Access to evidence-based psychosocial interventions for adults with attention-deficit/hyperactivity disorder (ADHD) remains limited, despite strong patient demand for nonpharmacological options such as cognitive behavioral therapy (CBT). Digital interventions may offer a scalable, low-threshold solution to meet this need and complement existing care. This pragmatic randomized controlled trial evaluated the effectiveness of attexis, a fully self-guided digital intervention based on CBT and mindfulness principles, as an adjunct to treatment as usual (TAU). A total of 337 adults with confirmed ADHD were randomized to either attexis + TAU or TAU alone. The primary outcome was ADHD symptom severity (Adult ADHD Self-Report Scale total score) at 3 months post-randomization (T1). Secondary outcomes included functional impairment, depressive symptoms, self-esteem, and health-related quality of life. Follow-up was conducted at 6 months (T2). Intent-to-treat analyses showed significantly lower ADHD symptom severity in the intervention group at T1 (baseline-adjusted mean difference = −5.0 points; d = 0.85, p < .001). Significant improvements were also observed across all secondary outcomes, and effects remained stable at T2. Responder analyses confirmed the clinical relevance of the findings. Subgroup analyses demonstrated consistent effects across sex, medication use, psychotherapy status, and treatment changes. No adverse events related to attexis were reported. attexis was effective in reducing ADHD symptoms and improving a broad range of functional and psychosocial outcomes. As a safe, low-threshold, fully self-guided intervention, it may serve as a valuable adjunct to routine care and help address existing gaps in access to psychosocial treatment for adults with ADHD.
The rapid evolution of digital health technologies (DHTs) presents distinct challenges for health technology assessment (HTA). Existing HTA frameworks, largely designed for conventional health interventions, may not sufficiently address these unique complexities. This scoping review provides an overview of existing assessment frameworks for DHTs, analyzing their purpose and the guidance they offer within the domains of the EUnetHTA Core Model.
Methods
The review followed the Joanna Briggs Institute methodology and PRISMA-ScR guidelines. The literature was identified through searches in PubMed and Embase, covering publications from 2015 to 2024 in English or German, and was complemented by a manual hand search. The studies were screened and analyzed using Covidence, with data categorized inductively based on the EUnetHTA Core Model domains.
Results
Of 3,576 screened records, 15 met inclusion criteria; an additional 45 frameworks were identified through hand searching, resulting in a total of 60 frameworks. Most frameworks focused on digital health applications (68 percent), while only a few addressed technologies such as artificial intelligence (2 percent). The frameworks primarily provide guidance on assessment, with varying focus on evidence requirements. The domains of the EUnetHTA Core Model were variably represented across the frameworks. Technical characteristics were most frequently addressed, while ethical, legal, and organizational domains received limited attention.
Conclusions
This review highlights the diversity of existing frameworks for DHT assessment. This emphasizes the potential relevance of a future standardized framework that contains explanations of the methodological approach to the assessment of DHTs and is modularly customizable depending on the type of technology.
Decentralized trial designs can improve accessibility and continuity of research participation by enabling remote data collection. This manuscript describes our team’s experiences with remote data collection to identify acute asthma exacerbations in a clinical study as well as practical insights that support the continued optimization of remote methodologies.
Methods:
In this 12-month observational study, adolescents aged 12–21 years with persistent asthma and ≥1 exacerbation in the prior 24 months completed an initial in-person visit followed by monthly virtual visits. Participants used home spirometry, app-based symptom tracking, smart inhalers to monitor lung function and short-acting beta agonist (SABA) use, and self-collection of nasal epithelial lining fluid (NELF) samples. Exacerbations were defined a priori by symptom/SABA thresholds or ≥20% FEV1 decline.
Results:
Forty participants enrolled; 73% completed all visits. Median adherence to performance of daily spirometry and symptom surveys was 44% and 38%, respectively. Seventy-eight percent experienced ≥1 exacerbation. Of 132 alerts, 80% represented true exacerbations, primarily due to ≥20% FEV1 decline; erroneous alerts were linked to software errors and poor spirometry technique. Sixty-six NELF sample sets were collected and 50 were analyzed. Cytokine concentrations did not differ significantly between clinic-collected and self-collected samples. Technical challenges included device connectivity issues, erroneous alerts, and shipping delays.
Conclusions:
Decentralized study designs with remote data collection requires further study as a means of conducting clinical research in asthma that increases participant accessibility, representation and generalizability of trial results. This approach presents numerous challenges and requires further optimization to address adherence, technical complexity, and staff burden while maintaining scientific rigor.
Digital technologies provide a convenient and scalable approach to dietary assessment and personalised feedback, facilitating behaviour change. This is essential for reducing the prevalence of non-communicable diseases at a population level. However, the evaluation of the acceptability and feasibility of dietary feedback delivered via online platforms has not been thoroughly investigated. By utilising the term ‘system architecture’ to describe the essential components of the digital approach to capturing dietary feedback, this systematic review outlines the platform, dietary assessment methodology, reference values for assessing dietary intake and elements of personalised dietary feedback. When reported, the acceptability and feasibility of personalised feedback were captured. OVID Medline, OVID Embase, Scopus via Elsevier and Cinahl Plus via EBSCO identified 5839 studies. Search terms included dietary assessment, feedback and digital technologies. In total, twenty-eight studies involving 301 271 participants were included. Food frequency questionnaires were the most commonly used dietary assessment method, accessed via web-based platforms. Dietary intake was commonly assessed using a diet quality index, and feedback was provided on food groups, often combined with a diet quality score or macronutrient analysis. While participant acceptance of personalised dietary feedback was generally high, the overall completion rates for acceptability questionnaires were low, and feasibility was seldom reported. Methods used to measure acceptability and feasibility varied, preventing comparisons across studies. Study quality was high; however, future research would benefit from the involvement of stakeholders and end-users in designing feedback messages.
Understanding service users’ knowledge of and attitudes towards the rapidly progressing field of mental health technology (MHT) is an important endeavour in clinical psychiatry.
Methods:
To evaluate the current use of and attitudes towards MHT (mobile apps, online therapy and counselling, telehealth, web-based programmes, chatbots, social media), a 5-point Likert-scale survey was designed based on previous studies and distributed to attendees of an adult community mental health service in Ireland. Chi-square tests were used and corrected for multiple comparisons.
Results:
107 mental health service users completed the survey (58% female, aged 18–80). 86% of respondents owned a smartphone. 27.1% reported using a mental health application, while 33.6% expressed interest in using one in the future. 61.7% reported they had not used and were not interested in using AI for their mental health, and 51.4% indicated they would not feel comfortable using it. 46.8% were not comfortable with psychiatrists utilising AI in their care. The majority (86.9%) preferred face-to-face appointments, while 52.6% would consider using MHT while on a waiting list. Younger participants reported significantly greater comfort using mental health apps and higher self-rated knowledge of AI.
Conclusion:
There were low levels of knowledge about and comfort using MHT, accompanied by concerns about confidentiality and privacy. Younger service users tended to be more comfortable with and knowledgeable about MHT. Despite the growing interest in digital approaches, there remains a clear preference for face-to-face appointments, underscoring the importance of addressing privacy and safety concerns, together with training and education.
Mobile health (mHealth) interventions offer promising ways to enhance access and continuity of mental health services in low-resource settings. However, little is known about the perspective of end users in routine primary care in Nigeria regarding the role of mHealth in mental health care. This qualitative study explored the perspectives of patients, caregivers and healthcare providers on the use of mHealth tools to support access to and continuity of mental health care in Nigeria. Seventeen participants, including persons with lived experience of depression (n=7), caregivers (n=3), and primary healthcare workers (n=7), were purposively recruited from nine primary health clinics in Ibadan. Interviews were conducted in Yoruba, transcribed, translated into English, and analysed inductively using NVivo 15. Participants identified phone calls, Short Message Service (SMS) reminders, and audiovisual content as key facilitators of engagement, self-care and adherence. Caregivers valued direct communication with providers, while healthcare workers used mobile tools for reminders, follow-up and patient education. Flexible use of next-of-kin contacts helped overcome digital barriers. The findings demonstrate that user-friendly mHealth tools are feasible for supporting mental health care in Nigeria, but their success depends on coupling technology with human-centred communication to ensure equitable and continuous care.
To address challenges in the real-world implementation of digital health for mental healthcare in Nigeria, this study conducted a process evaluation of five World Health Organization-recommended digital tools within a state-wide primary health care program in Lagos. Employing a convergent mixed-methods design across five facilities, we measured implementation fidelity through observation and platform analytics, and assessed stakeholder perceptions via validated surveys and interviews. The findings revealed a sharp divergence in success. Administrative tools that streamlined workflows, such as drug stock notification and automated client reminders, achieved high fidelity (>90% adherence). In contrast, clinical tools that altered provider–patient interactions, including a decision support app and a client helpline, demonstrated low fidelity (<66% adherence). Qualitative analysis attributed this gap to the successful tools’ seamless workflow integration versus the clinical tools’ disruption of practice and introduction of perceived professional and liability risks. The study concludes that digital health adoption is determined less by technological sophistication than by its integration into human systems. Scaling these innovations effectively requires prioritizing tools that align with existing workflows and developing a supportive policy ecosystem to address the professional concerns of frontline health workers.
Critical illness survivorship necessitates comprehensive care delivery paradigms across the continuum of care. In recent years, ICU follow-up clinics have emerged to meet the dynamic needs of ICU survivors and their care partners. The advent of novel technologies including teleconferencing, wearables, and sensors, has facilitated the development of telemedicine-based ICU follow-up clinics, leveraging objective asynchronous assessments, physiological data monitoring, and virtual care to make follow-up care more broadly accessible. Further, telemedicine-based ICU follow-up clinics may allow for more personalized care, allowing providers to provide timely, data driven care regardless of physical location. With regulatory body support of telemedicine and virtual care, telemedicine-based ICU follow up clinics may stand to improve patient outcomes and reduce fragmentation of care using digital health solutions.
Digital health services in Kenya comprise mobile health applications (mHealth apps), electronic health records, telehealth and telemedicine, which form part of an expanding digital health assemblage. These are shaped by transnational development agendas and donor-driven public health interventions. This paper discusses the for-profit turn in the digitalisation of health care – what I term the ‘appisation’ of health – as a site of intensified commodification where users are reconfigured as digitised health consumers. While other scholars have argued that digitalisation functions as extractive in deepening market penetration into spheres of life we rely on, I extend these arguments by claiming that, far from enhancing access, these technologies exploit vulnerabilities through opaque governance mechanisms and algorithmic decision-making, while transferring responsibility for health from the state to the individual, thus creating new dependencies on market-mediated platforms. Using discursive interface analysis of two health apps in Kenya, I examine how consumer health apps embed vulnerabilities while consumer law remains structurally limited in confronting the collective harms they generate.
The question of how digital health is regulated has become increasingly important within debates on technology, inequality and global health. While digital health is frequently celebrated for its capacity to expand access, build resilient systems and advance equity, scholars have raised critical concerns about its role in reproducing asymmetries of power. The potential for reproducing rather than curbing inequality is particularly relevant for the Global South. This Special Issue of the International Journal of Law in Context interrogates the ways in which digital health infrastructures, regulatory frameworks and transnational data flows are constitutive of coloniality and neoliberal capitalism. Bringing together socio-legal, feminist and decolonial perspectives, the contributions examine regulation as a terrain in which vulnerabilities, exclusions and structural inequalities are reinforced. Against the celebratory rhetoric of innovation, this collection situates regulation as a key site for understanding the entanglement of digital health with broader histories of coloniality and capitalism.
The promise of digitalisation in achieving Universal Health Coverage in postcolonial contexts is undermined by the realities of insufficiently resourced public healthcare systems. In response, private health insurance is often seen as essential to healthcare delivery. The provision of this private health insurance is increasingly mediated through digital infrastructures, with providers leaning into the promise of data-driven behavioural economics to provide better and more efficient services. While an increasing number of studies focus on digital health, in this paper, we particularly focus on the less-explored question of how datafication – under the veil of shared value, and enabled by forms of legal access – reproduces inequalities. Using the case study of Discovery, a financial services company in South Africa providing health insurance, we analyse how a social value and data-driven behavioural economic model of health insurance commodifies health and wellness. We argue that legal infrastructures are central to this commodification. Through a socio-legal critique of digital health, our article makes an original contribution to broader debates on enduring postcolonial social inequalities by illustrating how infrastructural injustice manifest through datafication.
Individuals with severe mental illness face a significantly reduced life expectancy compared to the general population. Addressing key modifiable risk factors is essential to reduce these alarming rates of mortality in this population. Nutritional psychiatry has emerged as an important field of research, highlighting the important role of nutrition on mental health outcomes. However, individuals with severe mental illness often encounter barriers to healthy eating, including poor diet quality, medication-related side effects such as increased appetite and weight gain, food insecurity and limited autonomy over food choices. While nutrition interventions play a key role in improving health outcomes and should be a standard part of care, their implementation remains challenging. Digital technology presents a promising alternative support model, with the potential to address many of the structural and attitudinal barriers experienced by this population. Nonetheless, issues such as digital exclusion and low digital literacy persist. Integrating public and patient involvement, along with behavioural science frameworks, into the design and delivery of digital nutrition interventions can improve their relevance, acceptability and impact. This review discusses the current and potential role of digital nutrition interventions for individuals with severe mental illness, examining insights, challenges and future directions to inform research and practice.
Digital innovation has the potential to be transformative to both clinical practice and academic research related to mental health. Recent advances in research and consumer-grade technology, combined with society’s rapid and widespread adoption of digital technology, has created an emerging and dynamic field attracting the interest of clinicians, researchers, and service-users alike. In this chapter we summarise potential applications of digital technology to mental health research and clinical practice, including digital phenotyping, smartphone applications, virtual reality, and teletherapy. We summarise how digital technologies might be applied to enhance psychiatric assessment and treatment, as well as in research settings. In particular, we outline the potential benefits of digital technology as clinical and research tools. We also explore the challenges associated with digital innovation in mental health, including ethical concerns, methodological considerations when critiquing research in this field, and considerations from the service-user perspective.
The high incidence of new cases of anxiety disorders highlights the need for scalable preventive interventions, which can be achieved through information and communication technologies. To our knowledge, no meta-analysis has been conducted to evaluate purely digital preventive interventions for anxiety in all types of populations. The aim of this study was to assess the effectiveness of digital interventions for the prevention of anxiety disorders. Systematic searches were conducted in six electronic databases (PubMed, PsycINFO, EMBASE, Web of Science, OpenGrey, and CENTRAL) from inception to December 12, 2024. Inclusion criteria for the studies were as follows: (1) randomized controlled trials (RCTs), (2) psychological or psychoeducational digital interventions to prevent anxiety, and (3) all types of populations without anxiety at baseline of the study. A total of 15 studies (19 comparisons; 6093 participants) were included in the systematic review. One study was identified as an outlier and was therefore excluded from the meta-analysis. The pooled analysis showed a small effect in favor of preventive interventions among non-anxious and varied populations (standardized mean difference = −0.32, 95% confidence interval: −0.44 to −0.20; p < 0.001). Sensitivity analyses supported the robustness of this finding. We found no evidence of publication bias. Heterogeneity was high, however, a meta-regression that included one variable (country, the Netherlands) explained 100% of the variance. All RCTs, except two, had a high risk of bias, and the quality of the evidence, according to Grading of Recommendations Assessment, Development, and Evaluation, was very low. There is a need to develop and evaluate new digital preventive interventions with a rigorous methodology.
This chapter discusses possible interpretations for the failure of COVID-19 tracking apps during the pandemic in the Western world in the context of digitalisation. It revisits the impact of digitalisation in public law and examines specific norms governing the right to health. The chapter explores key barriers, including privacy concerns, technological limitations, and public distrust, that contributed to the inefficacy of these digital tools. By analysing these challenges, the study identifies lessons for future digital health policies, emphasising the need for transparent governance, legal safeguards, and public engagement. It argues that human rights law must evolve to better balance privacy with public health objectives, ensuring digital technologies enhance rather than undermine fundamental rights.
The implementation of electronic health records (EHRs) in mental health contexts has been slow. Reasons for this include concerns from healthcare professionals regarding the collection of sensitive information and the stigma associated with mental health services. Despite the low uptake of EHRs, the benefits include patients feeling empowered and in control of their own treatment. However, ethnically diverse groups often access mental health services through crisis pathways and have been found to disengage with EHRs. The aim of this review was to explore ethnically diverse groups’ perceptions of the utility of mental health EHRs and establish perceived barriers and facilitators to access. MEDLINE, CINAHL, EMBASE, Scopus, PsycINFO, PubMed and Web of Science were searched. Included papers mentioned ethnically diverse groups from the 37 listed countries in the Organisation for Economic Co-operation and Development, and included service users, clients or patients accessing EHRs in mental healthcare settings. Papers were required to be published between 2009 and 2025. Eight papers met all criteria for inclusion, and three themes emerged: language barriers to EHR access, lack of access to technology and perceived impact of EHRs on access to care. Language barriers to EHR access, no access to technology and stigma were significant issues for ethnically diverse groups due to concerns about who has access to the electronic health data. Benefits of accessing EHRs included easier and efficient access to records. EHRs are critical for modern health systems and further work is required to improve EHRs usage in mental health systems for ethnically diverse groups.
Decentralized clinical trials (DCTs) are often hindered by challenges in remotely capturing biomarkers. To address this gap, we developed MyTrials, a mobile application integrated with REDCap, designed to facilitate the remote capture of biomarkers via Bluetooth-enabled remote patient monitoring (RPM) devices. The purpose of the present study was to evaluate the feasibility and acceptability of MyTrials among participants within a DCT design.
Methods:
In this four-arm randomized trial, 47 participants were allocated to receive zero, one, two, or three RPM devices. Participants were asked to use their devices once per week for a total of four weeks to remotely provide biomarkers via MyTrials. Feasibility was assessed using objective metrics of successful biomarker submission (i.e., valid device data accompanied by a video confirming participant identity) alongside the participant-reported Feasibility of Intervention Measure (FIM). Acceptability was evaluated via the Acceptability of Intervention Measure (AIM) and the System Usability Scale (SUS).
Results:
Among participants assigned at least one device, the successful biomarker submission rate was 74% across all study weeks. FIM and AIM scores exceeded prespecified feasibility benchmarks across all conditions except the zero-device condition. SUS scores consistently indicated high usability across all conditions (range: 77.29–94.29).
Conclusions:
The MyTrials platform is a feasible and acceptable solution for remote biomarker capture in DCTs. These findings support the potential of MyTrials to advance remote data collection in clinical research.
Advancements in healthcare have significantly improved the prospect of patients with CHD, with over 97% now surviving adulthood. This growing population requires lifelong care and support to manage their condition. Digital health innovations, such as the “Ask Me Anything” (AMA) tool, aim to empower patients and improve collaboration with clinicians.
Methods:
In this pilot study, 70 patients were invited to participate, and 58 completed the questionnaire (response rate: 82.9%). Patients completed a digital question prompt list (QPL) prior to their consultations to select key topics from a predefined list of questions. Permission from the institution was obtained before conducting the pilot study.
Results:
Patients frequently selected questions related to prognosis, ageing, emotional well-being, lifestyle, and potential future interventions. The tool allowed for more personalised consultations and promoted active patient participation.
Conclusions:
The AMA tool demonstrates feasibility in engaging ACHD patients and supporting shared decision-making. Further research is needed to optimise system integration and evaluate long-term outcomes.
In our digital world, reusing data to inform: decisions, advance science, and improve people’s lives should be easier than ever. However, the reuse of data remains limited, complex, and challenging. Some of this complexity requires rethinking consent and public participation processes about it. First, to ensure the legitimacy of uses, including normative aspects like agency and data sovereignty. Second, to enhance data quality and mitigate risks, especially since data are proxies that can misrepresent realities or be oblivious to the original context or use purpose. Third, because data, both as a good and infrastructure, are the building blocks of both technologies and knowledge of public interest that can help societies work towards the well-being of their people and the environment. Using the case study of the European Health Data Space, we propose a multidimensional, polytopic framework with multiple intersections to democratising decision-making and improving the way in which meaningful participation and consent processes are conducted at various levels and from the point of view of institutions, regulations, and practices.